Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology.
Xuelan ZhangBaoyan MaoYue CheJiaheng KangMingyao LuoAike QiaoYoujun LiuHitomi AnzaiMakoto OhtaYuting GuoGaoyang LiPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- neural network
- main contribution
- prediction model
- feed forward
- pattern recognition
- computer science
- theoretical framework
- prediction accuracy
- probabilistic model
- patient specific
- conceptual framework
- closed form
- state space
- control system
- optimal solution
- case study
- image processing
- learning algorithm
- genetic algorithm